{"repo":"jorge-martinez-gil/astrid","free":true,"listed":false,"github":"https://github.com/jorge-martinez-gil/astrid","clone":"git clone https://github.com/jorge-martinez-gil/astrid.git","description":"Advanded Software Tools for the Reliability of Industrial Datasets","language":"Python","stars":10,"topics":["ai-certification","certification","data-engineering","data-quality-assessment","eu-ai-act","industry-5","manufacturing","safety-critical"],"license":"MIT","category":"data-pipelines","readme_excerpt":"ASTRID Advanced Software Tools for Reliable Industrial Datasets Open-source tooling to assess and improve the reliability of datasets used in industrial AI systems. --- Table of Contents 1. What is ASTRID? 2. Key Features 3. Architecture 4. The Five Reliability Dimensions 5. Installation 6. Quick Start 7. Customising Metric Weights 8. Headless APIs and CLI 9. Analyzers Reference 10. Health Score & Grading 11. Policy Gate Presets 12. Configuration Reference 13. Exporting Results 14. Standards Alignment 15. Contributing 16. License 17. Citation 18. Acknowledgements --- What is ASTRID? Industrial AI systems are only as reliable as the data they are trained and validated on. Yet in practice, datasets used in manufacturing, energy, healthcare, and other safety-critical sectors routinely suffer from hidden problems: missing values that accumulate silently across sensor channels, label leakage between training and test splits, personally-identifiable information embedded in column names, distribution drift across production batches, and demographic disparities that surface only after deployment. Detecting and quantifying these issues before a model reaches production is both technically difficult and frequently neglected. ASTRID provides a unified, browser-based quality-assessment platform for three of the most common data modalities in industrial AI: tabular datasets (CSV, Parquet, Excel), time-series recordings, and image archives (ZIP files). Each analyzer runs a comprehensive ba","default_branch":null,"files":null,"tree":[],"storefront":"/r/jorge-martinez-gil","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jorge-martinez-gil/astrid/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}